Feb 1, 2020 · Instead, this book is meant to help R users learn to use the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, lime, …

Jul 15, 2025 · Machine learning in R allows data scientists, analysts and statisticians to build predictive models, uncover patterns and gain insights using powerful statistical techniques …

Nov 20, 2018 · This small tutorial is meant to introduce you to the basics of machine learning in R: more specifically, it will show you how to use R to work with the well-known machine learning …

This is the code repository for Machine Learning with R, Fourth Edition, published by Packt. Learn techniques for building and improving machine learning models, from data preparation to …

Feb 9, 2025 · These 7 R packages are among the best for machine learning, deep learning, and AutoML. Whether you're working on small datasets or large-scale projects, they offer efficient …

Familiarity with software such as R allows users to visualize data, run statistical tests, and apply machine learning algorithms. Even if you already know other software, there are still good …

Efficient, object-oriented programming on the building blocks of machine learning. Provides R6 objects for tasks, learners, resamplings, and measures. The package is geared towards …

This book introduces machine learning algorithms and explains the underlying concepts without using higher mathematics concepts like matrix algebra or calculus. Each chapter provides …

Dec 3, 2024 · First, you need to install some R packages that provide machine learning algorithms. You can use the built-in datasets in R, such as the iris dataset. You can also load …

Based on the author’s experience in teaching data science for more than 10 years, Mathematics and Programming for Machine Learning with R: From the Ground Up reveals how machine …